Beatrice-Nicoleta Chiriac
Universitatea Națională de Știință și Tehnologie Politehnica București
Papers
1
Total Citations
3
H-Index
1
About
Beatrice-Nicoleta Chiriac is a researcher at the forefront of cybersecurity for industrial and autonomous systems, with a focus on securing the convergence of physical and digital worlds. Her key research areas include intrusion detection systems, digital twin security, and the protection of robotic and autonomous vehicle networks. Chiriac’s major contributions lie in developing and evaluating machine learning-based security frameworks—such as Random Forest and Support Vector Machines—to detect cyber threats in smart robot digital twins and autonomous vehicle networks. Her work on enhancing security in digital twin architectures, published in 2025, has already garnered early citations, reflecting its timely relevance. Additionally, her research on intrusion detection for autonomous vehicles and robotic systems demonstrates a practical, data-driven approach to safeguarding critical infrastructure. By leveraging benchmark datasets like CICIDS2017 and CIC Modbus, Chiriac provides rigorous evaluations that advance the field. Her achievements include pioneering the integration of intrusion detection systems into digital twin environments, a novel contribution that bridges cybersecurity and industrial automation. For students and researchers, Chiriac’s work offers a compelling model of how machine learning can be applied to emerging security challenges in smart manufacturing and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1